Demo Data from EDBT 2026 / reviewers in the wild / expert
Jorge Tiago
dblp:07/8132
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Requirements engineering and software design · 61% Software maintenance and evolution · 30% Empirical software engineering · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › software configuration management
consistency management |
0.3 | 1 | 2017 | A Feature-Based Classification of Model Repair Approaches · IEEE Trans. Software Eng. 2017 |
Requirements engineering and software design
model-driven engineering |
0.3 | 1 | 2017 | A Feature-Based Classification of Model Repair Approaches · IEEE Trans. Software Eng. 2017 |
Requirements engineering and software design › inconsistency management
model repair |
0.3 | 1 | 2017 | A Feature-Based Classification of Model Repair Approaches · IEEE Trans. Software Eng. 2017 |
Empirical software engineering
systematic literature review |
0.1 | 1 | 2017 | A Feature-Based Classification of Model Repair Approaches · IEEE Trans. Software Eng. 2017 |
Methods — techniques the papers use, named apart from their topics
systematic literature review · 0.3feature-based classification · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | A Feature-Based Classification of Model Repair ApproachesabstractConsistency management, the ability to detect, diagnose and handle inconsistencies, is crucial during the development process in Model-driven Engineering (MDE). As the popularity and application scenarios of MDE expanded, a variety of different techniques were proposed to address these tasks in specific contexts. Of the various stages of consistency management, this work focuses on inconsistency handling in MDE, particularly in model repair techniques. This paper proposes a feature-based classification system for model repair techniques, based on an systematic literature review of the area. We expect this work to assist developers and researchers from different disciplines in comparing their work under a unifying framework, and aid MDE practitioners in selecting suitable model repair approaches. Nuno Macedo 0001, Jorge Tiago, Alcino Cunha |
IEEE Trans. Software Eng. | 2 |